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gestión del contexto conversacional

  • AnYi is a Python framework for building autonomous AI agents with task planning, tool integration, and memory management.
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    What is AnYi AI Agent Framework?
    AnYi AI Agent Framework helps developers integrate autonomous AI agents into their applications. Agents can plan and execute multi-step tasks, leverage external tools and APIs, and maintain conversation context through configurable memory modules. The framework abstracts interactions with various LLM providers and supports custom tool and memory backends. With built-in logging, monitoring, and asynchronous execution, AnYi accelerates deployment of intelligent assistants for research, customer support, data analysis, or any workflow requiring automated reasoning and action.
    AnYi AI Agent Framework Core Features
    • Autonomous multi-step task planning
    • Tool integration for external API calls
    • Memory management for context persistence
    • Asynchronous task execution
    • Built-in logging and monitoring
  • LazyLLM is a Python framework enabling developers to build intelligent AI agents with custom memory, tool integration, and workflows.
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    What is LazyLLM?
    LazyLL external APIs or custom utilities. Agents execute defined tasks through sequential or branching workflows, supporting synchronous or asynchronous operation. LazyLLM also offers built-in logging, testing utilities, and extension points for customizing prompts or retrieval strategies. By handling the underlying orchestration of LLM calls, memory management, and tool execution, LazyLLM enables rapid prototyping and deployment of intelligent assistants, chatbots, and automation scripts with minimal boilerplate code.
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